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08/04/2023
Diffusion-Augmented Depth Prediction with Sparse Annotations
Depth estimation aims to predict dense depth maps. In autonomous driving...
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07/17/2023
Neural Video Depth Stabilizer
Video depth estimation aims to infer temporally consistent depth. Some m...
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05/29/2023
Photoswap: Personalized Subject Swapping in Images
In an era where images and visual content dominate our digital landscape...
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03/22/2023
LightPainter: Interactive Portrait Relighting with Freehand Scribble
Recent portrait relighting methods have achieved realistic results of po...
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03/10/2023
3D Cinemagraphy from a Single Image
We present 3D Cinemagraphy, a new technique that marries 2D image animat...
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02/28/2023
PixHt-Lab: Pixel Height Based Light Effect Generation for Image Compositing
Lighting effects such as shadows or reflections are key in making synthe...
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12/13/2022
Structure-Guided Image Completion with Image-level and Object-level Semantic Discriminators
Structure-guided image completion aims to inpaint a local region of an i...
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12/06/2022
Perspective Fields for Single Image Camera Calibration
Geometric camera calibration is often required for applications that und...
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12/02/2022
ObjectStitch: Generative Object Compositing
Object compositing based on 2D images is a challenging problem since it ...
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09/14/2022
Distributed Multi-Robot Obstacle Avoidance via Logarithmic Map-based Deep Reinforcement Learning
Developing a safe, stable, and efficient obstacle avoidance policy in cr...
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07/31/2022
Less is More: Consistent Video Depth Estimation with Masked Frames Modeling
Temporal consistency is the key challenge of video depth estimation. Pre...
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07/29/2022
Towards Domain-agnostic Depth Completion
Existing depth completion methods are often targeted at a specific spars...
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07/18/2022
MPIB: An MPI-Based Bokeh Rendering Framework for Realistic Partial Occlusion Effects
Partial occlusion effects are a phenomenon that blurry objects near a ca...
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07/12/2022
Dynamic Gradient Reactivation for Backward Compatible Person Re-identification
We study the backward compatible problem for person re-identification (R...
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06/25/2022
BokehMe: When Neural Rendering Meets Classical Rendering
We propose BokehMe, a hybrid bokeh rendering framework that marries a ne...
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03/22/2022
CM-GAN: Image Inpainting with Cascaded Modulation GAN and Object-Aware Training
Recent image inpainting methods have made great progress but often strug...
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12/20/2021
Lite Vision Transformer with Enhanced Self-Attention
Despite the impressive representation capacity of vision transformer mod...
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08/15/2021
SSH: A Self-Supervised Framework for Image Harmonization
Image harmonization aims to improve the quality of image compositing by ...
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07/15/2021
Single-image Full-body Human Relighting
We present a single-image data-driven method to automatically relight im...
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12/17/2020
Learning to Recover 3D Scene Shape from a Single Image
Despite significant progress in monocular depth estimation in the wild, ...
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12/14/2020
Semantic Layout Manipulation with High-Resolution Sparse Attention
We tackle the problem of semantic image layout manipulation, which aims ...
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12/13/2020
Meticulous Object Segmentation
Compared with common image segmentation tasks targeted at low-resolution...
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12/12/2020
Mask Guided Matting via Progressive Refinement Network
We propose Mask Guided (MG) Matting, a robust matting framework that tak...
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11/04/2020
Deep Image Compositing
Image compositing is a task of combining regions from different images t...
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09/11/2020
Attribute-conditioned Layout GAN for Automatic Graphic Design
Modeling layout is an important first step for graphic design. Recently,...
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08/13/2020
Adversarial Knowledge Transfer from Unlabeled Data
While machine learning approaches to visual recognition offer great prom...
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08/04/2020
Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions
We propose a novel algorithm, named Open-Edit, which is the first attemp...
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08/03/2020
Shape Adaptor: A Learnable Resizing Module
We present a novel resizing module for neural networks: shape adaptor, a...
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07/16/2020
SSN: Soft Shadow Network for Image Compositing
In image compositing tasks, objects from different sources are put toget...
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05/24/2020
High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling
Existing image inpainting methods often produce artifacts when dealing w...
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03/13/2020
Explainable Deep Classification Models for Domain Generalization
Conventionally, AI models are thought to trade off explainability for lo...
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11/28/2019
LeRoP: A Learning-Based Modular Robot Photography Framework
We introduce a novel framework for automatic capturing of human portrait...
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09/15/2019
Scaling Object Detection by Transferring Classification Weights
Large scale object detection datasets are constantly increasing their si...
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08/20/2019
Towards High-Resolution Salient Object Detection
Deep neural network based methods have made a significant breakthrough i...
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06/05/2019
Multi-way Encoding for Robustness
Deep models are state-of-the-art for many computer vision tasks includin...
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04/03/2019
M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental Learning
Incremental learning targets at achieving good performance on new catego...
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01/21/2019
LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators
Layout is important for graphic design and scene generation. We propose ...
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12/06/2018
Guided Zoom: Questioning Network Evidence for Fine-grained Classification
We propose Guided Zoom, an approach that utilizes spatial grounding to m...
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12/02/2018
Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization
In this paper, we study the problem of improving computational resource ...
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10/18/2018
DeepLens: Shallow Depth Of Field From A Single Image
We aim to generate high resolution shallow depth-of-field (DoF) images f...
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09/21/2018
GAPLE: Generalizable Approaching Policy LEarning for Robotic Object Searching in Indoor Environment
We study the problem of learning a generalizable action policy for an in...
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08/18/2018
Concept Mask: Large-Scale Segmentation from Semantic Concepts
Existing works on semantic segmentation typically consider a small numbe...
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08/07/2018
Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias
While machine learning approaches to visual emotion recognition offer gr...
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05/23/2018
Excitation Dropout: Encouraging Plasticity in Deep Neural Networks
We propose a guided dropout regularizer for deep networks based on the e...
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11/18/2017
Excitation Backprop for RNNs
Deep models are state-of-the-art for many vision tasks including video a...
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12/21/2016
Top-down Visual Saliency Guided by Captions
Neural image/video captioning models can generate accurate descriptions,...
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08/01/2016
Top-down Neural Attention by Excitation Backprop
We aim to model the top-down attention of a Convolutional Neural Network...
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07/26/2016
Salient Object Subitizing
We study the problem of Salient Object Subitizing, i.e. predicting the e...
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12/22/2015
